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Summary Research on economic status and adult mortality is often stymied by the reciprocity of this relationship and lack of clarity on which aspect of economic status matters. While financial resources increase access to healthcare and nutrition and reduce mortality, sickness also reduces labor force participation, thereby reducing income. Without longitudinal data, it is difficult to study the linkage between economic status and mortality. Using data from a national sample of 132,116 Indian adults aged 15 years and above, this paper examines their likelihood of death between wave 1 of the India Human Development Survey (IHDS), conducted in 2004–05 and wave 2, conducted in 2011–12. The results show that mortality between the two waves is strongly linked to the economic status of the household at wave 1 regardless of the choice of indicator for economic status. However, negative relationship between economic status and mortality for individuals already suffering from cardiovascular and metabolic conditions varies between three markers of economic status—income, consumption, and ownership of consumer durables—reflecting two-way relationship between short- and long-term markers of economic status and morbidity. [ABSTRACT FROM AUTHOR]

Summary It is well known that consumption patterns change with income. Relative price changes would therefore affect rich and poor consumers differently. Yet, the standard price indices are not income-specific, and hence, they cannot account for such differences. In this paper, we study consumption inequality in India, while fully allowing for non-homotheticity. We show that the relative price changes during most of the period from 1993 to 2012 were pro-poor, in the sense that they favored the poor relative to the rich. As a result, we also find that conventional measures significantly overstate the rise in real consumption inequality during this period. The main lesson from our study is the importance of accounting for non-homotheticity when measuring inequality. The price index literature has, as of yet, paid relatively little attention to this. In our application, however, it turns out that the allowance for non-homotheticity is quantitatively much more important than much discussed adjustments, such as those for substitution in consumption. [ABSTRACT FROM AUTHOR]

Highlights: [•] This paper examines returns to education in India for consumption and wages. [•] The returns appear high at the individual level for both men and women. [•] Yet comparing across cohorts the returns are low for men and zero for women. [•] The results are robust to measurement error and school quality. [•] There are higher returns in the regular wage market but that employs few people. [Copyright &y& Elsevier]

Summary: This paper studies the relationship between mothers’ employment and children’s schooling in India. Using the second National Family Health Survey, the results of a multilevel probit model show that the correlation between mothers’ employment and their children’s schooling is negative. Women in poorer households are more likely to work but, given the negative correlation, their additional income does not seem sufficient to enable children’s school attendance. A sensitivity analysis on wealth deciles shows that this negative relationship disappears in urban areas and becomes weaker in rural areas at the top wealth deciles. [ABSTRACT FROM AUTHOR]

Summary: In this paper, we test whether economic growth decreases child labor by bringing together data from the National Sample Survey of India and state-level macrodata to estimate a bivariate probit model of schooling and labor. Our results lead us to conclude that contrary to popular wisdom, growth actually increases rather than decreases child labor because it increases the demand for child workers. The level of state NDP, village wages, and household incomes are seen as the conduits through which growth influences the supply side of the child labor market. [Copyright &y& Elsevier]